code: def test_auto_names_creates_files(self, auto_names):
      data_file = Path(self.FIXTURES_ROOT / "data" / "conll2003.txt")
      paths = []
      out_paths = []
      pred_paths = []
      for i in range(5):
          tmp_path = self.TEST_DIR.joinpath(f"TEST{i}.txt")
  
          # Need to create paths to check when they do not exist
          out_paths.append(tmp_path.parent.joinpath(f"OUTPUTS{i}.json"))
          pred_paths.append(tmp_path.parent.joinpath(f"PREDS{i}.txt"))
  
          copyfile(data_file, tmp_path)
          paths.append(tmp_path)
  
      kebab_args = [
          "evaluate",
          str(
              self.FIXTURES_ROOT
              / "simple_tagger_with_span_f1"
              / "serialization"
              / "model.tar.gz"
          ),
          ",".join(map(str, paths)),
          "--cuda-device",
          "-1",
          "--output-file",
          ",".join(map(str, out_paths)),
          "--predictions-output-file",
          ",".join(map(str, pred_paths)),
          "--auto-names",
          auto_names,
      ]
  
      args = self.parser.parse_args(kebab_args)
      _ = evaluate_from_args(args)
  
      expected_input_data = data_file.read_text("utf-8")
  
      for i, p in enumerate(paths):
          # Make sure it was not modified
          assert p.read_text("utf-8") == expected_input_data
  
          if auto_names == "METRICS" or auto_names == "ALL":
              assert not out_paths[i].exists()
              assert p.parent.joinpath(f"{p.stem}.outputs").exists()
          else:
              assert out_paths[i].exists()
              assert not p.parent.joinpath(f"{p.stem}.outputs").exists()
          if auto_names == "PREDS" or auto_names == "ALL":
              assert not pred_paths[i].exists()
              assert p.parent.joinpath(f"{p.stem}.preds").exists()
          else:
              assert pred_paths[i].exists()
              assert not p.parent.joinpath(f"{p.stem}.preds").exists()
  
imports: import argparse
  import json
  from pathlib import Path
  from typing import Iterator, List, Dict
  from shutil import copyfile
  import pytest
  import torch
  from flaky import flaky
  from allennlp.commands.evaluate import evaluate_from_args, Evaluate
  from allennlp.common.testing import AllenNlpTestCase
  from allennlp.data.data_loaders import TensorDict
  from allennlp.models import Model
label_desc: Use image node_id 6 for calling the TestEvaluate obj's underlying member method code with example usage: obj.test_auto_names_creates_files(auto_names) without return types